Product Manager-B2C

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Responsibilities & Duties:

Making Call to Customers, Maintaining the Database, Online Sales

Maintain a relations with the existing clients and ask to upgrade their packages or renewals

Prepare and follow up on sales quotations made to clients.

Will be responsible for client retention, per client revenue optimization & renewals.

Handle `client queries/escalations.

Should have effective sales & negotiation ability.

Interacting with vendors for product upload in their respective Domain.

Manage and create product listing and another day to day activities on portal

Improve Customer perception and product-wise market share, a good understanding of technical and market feasibility of the product.

Required Experience, Skills and Qualifications

Experience: Minimum 6 Months in Online and Concept Sales

Skills: Proficient Written & Verbal Communication Skills in English

Qualifications: Any Graduate

Must have laptop

Location: HSR, Bangalore

Employment Type: Full-Time

Must Known Language: Kannada, Hindi and English

Role Overview:

We are looking for a full-time Admin who can focus on managing office facilities and ensuring smooth day-to-day operations.

Key Responsibilities:

• Handle all facility-related tasks such as plumbing, repairs, maintenance, and general upkeep.
• Coordinate with vendors, electricians, cleaners, and other service providers.
• Oversee office security and ensure smooth functioning on the ground.
• Support the receptionist only if needed (as a backup).

Working Days: Tuesday – Sunday (Monday off)

Preferred Candidate Profile:

• Experience: Prior experience in office administration, facility management, or a similar role.
• Skills: Strong organizational skills, vendor management, problem-solving, and the ability to handle day-to-day office operations independently.

Basic Requirement :

node.js

•Writing web services REST and GraphQL using node.js frameworks such as express and node SDKs

•Develop low-latency, high-availability, and high-performance applications using node.js framework

•Develop using microservices architecture style and asynchronous using loopback

•Implementation of security such as web service authentication and data storage (such as database, key-value stores, and object storage) in the application

•No other fuss only code

Required Technical Expertise

•Strong proficiency in node.js, and AWS Lambda.

•Experience in PostgreSQL, MongoDB, Amazon SQS, Kafka, Amazon SNS, Dynamodb, and Firebase

•Experience in using node.js frameworks (such as express, StrongLoop)

•Experience in asynchronous programming and use of libraries in node.js

•User authentication and authorization in a microservices architecture

•Integration of multiple data sources and databases into the application

•Understanding of microservices and scalable architecture

•Experience in creating database schemas (SQL & NoSQL) for the applications

Airflow developer:

Exp: 5 to 10yrs & Relevant exp must be above 4 Years.

Work location: Hyderabad (Hybrid Model)

Job description:  

·        Experience in working on Airflow.

·        Experience in SQL, Python, and Object-oriented programming. 

·        Experience in the data warehouse, database concepts, and ETL tools (Informatica, DataStage, Pentaho, etc.).

·        Azure experience and exposure to Kubernetes. 

·        Experience in Azure data factory, Azure Databricks, and Snowflake. 

Required Skills: Azure Databricks/Data Factory, Kubernetes/Dockers, DAG Development, Hands-on Python coding.

Looking for Dot Net Developer| Gurgaon to join a team of rockstar developers. The candidate should have a minimum of 3+ yrs. There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).

Company Background - CodeVyasa is a Software Product-Engineering and Development company that helps Early-stage & Mid-Market Product companies with IT Consulting, App Development, and On-demand Tech Resources. Our Journey over the last 3 years has been nothing short of a roller-coaster. Along our way, we've won some of the most prestigious awards while driving immense value to our customers & employees. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q1 2024

Requirements:

•  Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
•  Minimum of 3 years of experience as a Dot net, c#.
•  Proficiency in Dot net core development.
•  Strong knowledge of SQL Server, API.
•  Aptitude for learning new technologies quickly.
•  Good problem-solving and analytical skills

• Azure IaaS and PaaS.
• .Net (Core and Framework)
• Web API, ASP.NET, Entity Framework
• MS SQL Server
• HTML5, CSS3, Jquery and JSON
• Angular / React JS
• Unit Testing Framework for .NET using MS Test Manager or Nunit
• Unit Testing Framework for Angular or React JS

• Docker & Kubernetes
• BOT

• Should have the ability to implement solution based on the technical design document and discussions with Tech Leads  / Architects.
• Should have the ability to identify and implement software development best practices.
• Should have the ability to collaborate with other team members to deliver the solution.
• Should have the abiliity to troubleshoot issues..

• Act as a point of contact and build influential candidate relationships during the selection process.
• The candidate will be responsible to handle the entire cycle of recruitment and selection under the guidance of Head - HR inclusive of the following but not limiting to:.
• Source/ Screen candidates from job portals and other forums.
• Must have Good Communication Skills
• Freshers may apply

• Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
• Expert-level proficiency in Python
• Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
• Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
• Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
  Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI)
• Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
•